Disclosed herein is a limited intangible goods transaction system (LIGTS) that provides options to users to buy, sell, bid, and swap limited intangible goods and/or services, such as a position in a queue in a facility, a reservation for the facility, a ticket to an event, and the like, with other users interested in the same goods and/or services using a variety of computer-specific interfaces. LIGTS may employ an application server configured to receive a request from a first user to either sell, bid, or swap their position in the queue for the facility and notifying other users in the queue or interested to join the queue that the first user is interested to sell and/or swap his/her position within the queue. The application server may also update the queue dataset based on any changes in the positions of the users in the queue.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method comprising: receiving, by a server, via a facility customer application executing on a computing device of a first user from a plurality of users during a first session on a channel within a communication platform, a user request from the first user, wherein the facility customer application is configured to receive user requests from the user computing device and transmit the user request to at least one of a bot of the server and a facility management application, wherein the user request comprises at least a first user attribute and an order value associated with the user request, and wherein the communication platform is configured to: receive, from the facility customer application, the user requests and route the user request to the bot of the server via a bot connector, and receive, from a facility computing system, a message corresponding to the user request, the facility computing system comprising a user interface of the facility management application on a facility of a plurality of facilities computing device, wherein the user interface is configured to receive data associated with the facility; and transmitting, by the server, the user request to the facility computing system of the facility; upon transmitting the user request, receiving, by the server, an approval from the facility computing system of the facility; transmitting, by the server, to the computing device of the first user, during a second session on the channel within the communication platform, the message corresponding to the user request comprising a notification that the user request has been approved; updating, by the server, a plurality of data records within a data store configured to store data records containing information about a plurality of facilities, the plurality of users, and a queue dataset associated with each facility comprising at least one user, wherein the queue dataset is a data record representing a queue of the plurality of users at a facility of the plurality of facilities, wherein the queue dataset comprises an identifier for each user within the queue dataset corresponding an order value of the user, wherein the queue dataset is sorted, by the server, in accordance with the order value of each user; wherein the server updates and re-sorts the queue dataset upon receiving the approval from the facility computing system; receiving, by the server, from the first user, during a third session on the channel within the communication platform, a request for a queue dataset modification, wherein the request comprises a request to modify the data record associated with the first user within the queue dataset; upon receiving the request for modification, transmitting, by the server, to the plurality of users, on the channel within the communication platform, a facility identifier, the order value corresponding to the queue dataset associated with the first user, and a first sorting value corresponding to a ranking of the first user in the queue of plurality of users having the first user attribute; upon receiving a second user request from a second user, via the bot of the facility customer application executing on a computing device of the second user and during a fourth session on the channel within the communication platform, updating, by the server, the data record of the queue dataset associated with the first user by modifying the data record associated with the first user to be associated with the second user; transmitting, by the server, the updated queue dataset to the facility computing system, whereby the server causes the user interface associated with the facility management application executing on at least one facility computing device to display a notification comprising identification of the second user and the modified queue dataset; and transmitting, by the server, via the bot of the facility customer application executing on the computing device of the second user and during the fourth session on the channel within the communication platform, a notification to the second user, wherein the notification contains the modified queue dataset wherein the server only modifies the data record associated with the first user within the queue dataset one time.
This invention relates to a computer-implemented system for managing user requests and queues within a facility management platform. The system addresses the problem of efficiently handling and processing user requests across multiple facilities while maintaining accurate queue management and real-time updates for users. The system involves a server that receives user requests from a facility customer application running on a user's computing device. These requests include user attributes and order values and are routed through a communication platform to a bot or a facility management application. The server transmits the request to a facility computing system, which processes and approves the request. Upon approval, the server notifies the user and updates a data store containing facility, user, and queue datasets. The queue dataset is sorted based on order values and dynamically updated when new requests are received or modifications are made. Users can request modifications to their queue position, and the server broadcasts updates to all users in the queue, including facility identifiers, order values, and sorting values. When a second user takes over a first user's position in the queue, the server updates the queue dataset accordingly and notifies both the facility and the second user. The system ensures that queue modifications are processed only once, maintaining data integrity.
2. The method of claim 1 , wherein the order value corresponds to a time value associated with receiving the user request.
A system and method for processing user requests in a computing environment involves assigning an order value to each request based on a time value associated with receiving the request. The order value determines the priority of the request in a queue, ensuring that requests are processed in the sequence they were received. This method is particularly useful in systems where multiple requests must be handled in a fair and orderly manner, such as in task scheduling, network packet processing, or database query management. By associating the order value with the time of receipt, the system ensures that requests are processed chronologically, preventing delays or unfair prioritization. The method may also include additional steps such as validating the request, determining available resources, and executing the request in the assigned order. This approach improves system efficiency by maintaining a structured and predictable workflow, reducing the risk of conflicts or bottlenecks in request processing. The system may be implemented in various computing environments, including cloud-based platforms, distributed systems, or on-premises servers, to ensure consistent and reliable request handling.
3. The method of claim 1 , wherein the queue dataset is sorted, by the server, in accordance with a time value associated with the receipt of a request of each user.
This invention relates to a server-based method for managing and prioritizing user requests in a queue dataset. The problem addressed is the need for an efficient and fair system to process user requests, particularly in high-demand scenarios where multiple users submit requests simultaneously. The invention provides a solution by sorting the queue dataset based on the time each request was received, ensuring that requests are processed in the order they were submitted. The method involves a server receiving multiple user requests and assigning a time value to each request upon receipt. These requests are then stored in a queue dataset, which the server sorts according to the time values. This sorting ensures that the oldest requests are prioritized, preventing newer requests from bypassing earlier ones. The server processes the requests in the sorted order, maintaining fairness and preventing system overload by managing the sequence of request handling. Additionally, the method may include further steps such as validating the requests before processing, handling errors, and updating the queue dataset dynamically as new requests are received. The sorting mechanism ensures that the system remains responsive and scalable, even under heavy load, by systematically organizing requests based on their arrival time. This approach is particularly useful in applications where request order is critical, such as transaction processing, reservation systems, or real-time data handling. The invention improves efficiency and user experience by ensuring a predictable and fair request processing sequence.
4. The method of claim 1 , wherein the queue dataset is sorted, by the server, based on receiving a preference value from the facility computing system.
This invention relates to a system for managing and prioritizing tasks or data entries in a queue dataset, particularly in environments where tasks must be processed based on dynamic priorities. The problem addressed is the need for efficient and flexible queue management, where tasks can be dynamically prioritized based on external inputs, such as preference values from a facility computing system. The method involves a server that sorts a queue dataset based on a received preference value from a facility computing system. The queue dataset contains tasks or data entries that need to be processed in a specific order. The facility computing system, which may be a separate system managing operational or logistical tasks, provides a preference value that influences how the queue is sorted. This allows the server to dynamically adjust the order of tasks in the queue based on real-time or changing priorities, ensuring that higher-priority tasks are processed first. The sorting mechanism may involve reordering the queue dataset according to predefined rules or algorithms that incorporate the preference value. For example, tasks with higher preference values may be moved to the front of the queue, while lower-priority tasks are delayed. This dynamic sorting ensures that the system adapts to changing conditions, such as urgent requests or resource constraints, improving overall efficiency and responsiveness. The invention is particularly useful in environments where task prioritization must be flexible, such as in manufacturing, logistics, or data processing systems, where external factors can influence the order in which tasks should be executed. By integrating preference values from a facility computing system, the method ensures that the queue is always optimized for cur
5. The method of claim 1 , wherein the computing device of a first user is a mobile device.
A system and method for secure data sharing between users involves a computing device of a first user, which may be a mobile device, and a computing device of a second user. The system enables secure transmission of data from the first user to the second user by establishing a secure communication channel between the devices. The method includes generating a cryptographic key pair for the first user, where the key pair includes a public key and a private key. The public key is shared with the second user, while the private key remains securely stored on the first user's device. The first user encrypts data using the second user's public key, ensuring only the second user can decrypt it using their private key. The encrypted data is then transmitted over the secure communication channel to the second user's device. The second user decrypts the received data using their private key, allowing secure access. The system may also include authentication mechanisms to verify the identities of both users before data transmission. This approach ensures confidentiality and integrity of shared data, addressing security concerns in digital communication.
6. The method of claim 4 , wherein the preference value is associated with each user's attributes.
Technical Summary: This invention relates to personalized recommendation systems that adapt to user attributes. The core problem addressed is the need for recommendation systems to dynamically adjust based on individual user characteristics, such as demographics, behavior patterns, or explicit preferences, to improve relevance and engagement. The method involves associating a preference value with each user's attributes. These attributes may include demographic information (e.g., age, location), behavioral data (e.g., past interactions, browsing history), or explicit user inputs (e.g., ratings, selections). The preference value quantifies how strongly a particular attribute influences recommendations for that user. For example, a user with a strong preference for a specific genre may receive higher-weighted recommendations in that category. The system dynamically updates these preference values as new user data is collected, ensuring recommendations remain relevant over time. This approach allows the system to tailor suggestions to individual users rather than relying on generic or static profiles. The method may be applied in various domains, including content streaming, e-commerce, or social media, where personalized recommendations enhance user experience and satisfaction. By linking preference values directly to user attributes, the system avoids one-size-fits-all recommendations, improving accuracy and user engagement. The invention ensures that recommendations align with each user's unique preferences and behaviors, addressing the challenge of delivering highly relevant content in real time.
7. The method of claim 1 , further comprising: in an event of not receiving approval form the facility computing system: transmitting, by the server, a notification to the facility customer application executing on the computing device of the second user containing a message that the queue dataset modification has been denied.
This invention relates to a system for managing queue datasets in a facility, such as a restaurant or service center, where users interact with a facility computing system to modify queue positions. The problem addressed is the need for efficient communication between a server, facility computing system, and user applications when queue modifications are denied, ensuring users are promptly informed of disapprovals. The method involves a server receiving a request from a first user to modify a queue dataset, such as changing a reservation or service order. The server then sends this request to the facility computing system for approval. If the facility computing system denies the modification, the server transmits a notification to a second user's computing device, where a facility customer application is running. The notification includes a message indicating that the queue dataset modification has been denied. This ensures transparency and immediate feedback to the user, preventing confusion or delays in service. The system may also include additional steps, such as the server receiving the initial modification request from the first user's computing device, where a facility customer application is executing. The server processes the request and forwards it to the facility computing system for approval. If approval is granted, the queue dataset is updated accordingly. The method ensures seamless communication between users and the facility, improving operational efficiency and user experience.
8. The method of claim 1 , wherein the transmittal of the queue dataset to the plurality of users does not include any personal identifiable information associated with the plurality of users.
This invention relates to data processing systems that manage and distribute queue datasets to multiple users while ensuring privacy protection. The core problem addressed is the need to share queue-related information without exposing personally identifiable information (PII) of the users involved. The system processes a queue dataset, which may include task assignments, scheduling data, or other structured information, and filters out any PII before transmitting it to the users. This ensures that while users receive necessary queue data for their tasks or operations, their personal information remains confidential. The method involves analyzing the dataset to identify and remove PII, such as names, contact details, or unique identifiers, before distribution. The system may also apply encryption or anonymization techniques to further protect user privacy. The approach is particularly useful in environments where data sharing is required but privacy regulations or organizational policies restrict the exposure of personal data. By separating PII from the queue dataset, the system enables secure and compliant data distribution while maintaining the functionality of the queue management process.
9. The method of claim 1 , wherein the channel within the communication platform is a chat session on a social media website.
This invention relates to communication platforms, specifically methods for managing and analyzing interactions within a chat session on a social media website. The technology addresses the challenge of efficiently processing and extracting meaningful data from real-time conversations in digital environments where users engage in dynamic, often unstructured exchanges. The method involves monitoring a chat session on a social media platform to detect and analyze user interactions. It identifies key elements such as messages, user identities, and timestamps, then processes this data to derive insights. The system may apply natural language processing (NLP) techniques to categorize content, detect sentiment, or extract topics. Additionally, it can track participant engagement, response times, and interaction patterns to assess conversation dynamics. The method may also integrate with other features of the social media platform, such as user profiles or external databases, to enhance data analysis. For example, it could correlate chat activity with user behavior or preferences to personalize responses or improve engagement strategies. The system may generate reports or alerts based on the analysis, providing actionable insights for moderators, marketers, or developers. This approach improves the efficiency of managing online discussions by automating data extraction and analysis, enabling better decision-making and user experience optimization in social media environments.
10. A computer system comprising: a server configured to: receive via a facility customer application executing on a computing device of a first user from a plurality of users during a first session on a channel within a communication platform, a user request from the first user, wherein the facility customer application is configured to receive user requests from the user computing device and transmit the user request to at least one of a bot of the server and a facility management application, wherein the user request comprises at least a first user attribute and an order value associated with the user request, and wherein the communication platform is configured to: receive, from the facility customer application, the user requests and route the user request to the bot of the server via a bot connector, and receive, from a facility computing system, a message corresponding to the user request, the facility computing system comprising a user interface of the facility management application on a facility of a plurality of facilities computing device, wherein the user interface is configured to receive data associated with the facility; and transmit the user request to the facility computing system of the facility; upon transmitting the user request, receive an approval from the facility computing system of the facility; transmit to the computing device of the first user, during a second session on the channel within the communication platform, the message corresponding to the user request comprising a notification that the user request has been approved; update a plurality of data records within a data store configured to store data records containing information about a plurality of facilities, the plurality of users, and a queue dataset associated with each facility comprising at least one user, wherein the queue dataset is a data record representing a queue of the plurality of users at a facility of the plurality of facilities, wherein the queue dataset comprises an identifier for each user within the queue dataset corresponding an order value of the user, wherein the queue dataset is sorted, by the server, in accordance with the order value of each user; wherein the server updates and re-sorts the queue dataset upon receiving the approval from the facility computing system; receive from the first user, during a third session on the channel within the communication platform, a request for a queue dataset modification, wherein the request comprises a request to modify the data record associated with the first user within the queue dataset; upon receiving the request for modification, transmit to the plurality of users, on the channel within the communication platform, a facility identifier, the order value corresponding to the queue dataset associated with the first user, and a first sorting value corresponding to a ranking of the first user in the queue of plurality of users having the first user attribute; upon receiving a second user request from a second user, via the bot of the facility customer application executing on a computing device of the second user and during a fourth session on the channel within the communication platform, update the data record of the queue dataset associated with the first user by modifying the data record associated with the first user to be associated with the second user; transmit the updated queue dataset to the facility computing system, whereby the server causes the user interface associated with the facility management application executing on at least one facility computing device to display a notification comprising identification of the second user and the modified queue dataset; and transmit via the bot of the facility customer application executing on the computing device of the second user and during the fourth session on the channel within the communication platform, a notification to the second user, wherein the notification contains the modified queue dataset wherein the server only modifies the data record associated with the first user within the queue dataset one time.
This invention relates to a computer system for managing user requests and queue modifications within a communication platform, particularly for facility management applications. The system addresses the problem of efficiently handling user requests, approvals, and queue updates in a multi-user environment, ensuring real-time synchronization across different sessions and devices. The system includes a server that receives user requests from a facility customer application running on a user's computing device. These requests contain user attributes and order values and are routed through a communication platform to a bot or a facility management application. The communication platform facilitates the exchange of messages between users and facilities, ensuring seamless interaction. Upon receiving a user request, the server transmits it to a facility computing system, which processes and approves the request. The server then notifies the user of approval and updates data records in a centralized data store. This data store maintains information about facilities, users, and queue datasets, which are sorted based on order values. The system allows users to request modifications to their queue positions, triggering updates to the queue dataset. The server broadcasts the modified queue information, including facility identifiers, order values, and sorting values, to all users on the channel. When a second user submits a request, the server updates the queue dataset by transferring the first user's position to the second user, ensuring only one modification per user. The updated queue is then transmitted to the facility computing system and the second user, maintaining consistency across all interfaces. This approach ensures efficient queue management and real-time updates fo
11. The system of claim 10 , wherein the order value corresponds to a time value associated with receiving the user request.
A system for processing user requests in a computing environment involves determining an order value for each request based on a time value associated with receiving the request. The system prioritizes requests by assigning higher priority to requests with earlier time values, ensuring that older requests are processed before newer ones. This approach helps manage request queues efficiently, particularly in high-load scenarios where multiple requests compete for system resources. The system may include a request processing module that evaluates the time value of each incoming request and a scheduling module that organizes requests in a queue based on their assigned order values. The system may also include a resource allocation module that distributes processing resources according to the prioritized queue, optimizing system performance and responsiveness. The time-based ordering ensures fairness and prevents starvation of older requests, improving overall system reliability. This method is particularly useful in distributed computing environments, cloud services, or any system handling concurrent user requests where timely processing is critical. The system may further include mechanisms to handle exceptions, such as adjusting priorities for urgent requests or reordering based on additional criteria like request type or user priority level. The time-based ordering can be combined with other scheduling algorithms to enhance flexibility and adaptability in different operational scenarios.
12. The system of claim 10 , wherein the queue dataset is sorted, by the server, in accordance with a time value associated with the receipt of a request of each user.
A system for managing user requests in a networked environment sorts a queue dataset based on the time each request was received. The system includes a server that processes requests from multiple users and organizes them in a queue. The queue dataset is dynamically sorted by the server according to a time value associated with each request, ensuring that requests are handled in the order they were received. This prioritization method prevents delays and ensures fairness in request processing. The system may also include additional features such as request validation, load balancing, and error handling to enhance efficiency and reliability. The sorting mechanism allows the server to prioritize requests chronologically, improving system responsiveness and user experience. The system is particularly useful in high-traffic environments where timely processing of requests is critical.
13. The system of claim 10 , wherein the queue dataset is sorted, by the server, based on receiving a preference value from the facility computing system.
This invention relates to a system for managing and prioritizing tasks or requests within a facility, such as a manufacturing plant, warehouse, or service center. The system addresses the challenge of efficiently organizing and processing tasks based on dynamic priorities, ensuring optimal resource allocation and workflow efficiency. The system includes a server that receives and processes task requests from various sources, such as facility computing systems or user devices. These requests are stored in a queue dataset, which the server dynamically manages. The queue dataset is sorted based on a preference value received from the facility computing system, allowing tasks to be prioritized according to real-time operational needs. This sorting mechanism ensures that higher-priority tasks are processed first, improving overall system responsiveness and productivity. The system may also include additional features, such as task assignment to specific workers or machines, real-time status updates, and performance tracking. The server can adjust task priorities in response to changing conditions, such as resource availability or urgency levels. By integrating with the facility's computing infrastructure, the system provides a seamless and adaptive solution for task management, reducing delays and enhancing operational efficiency.
14. The system of claim 10 , wherein the computing device of a first user is a mobile device.
**Technical Summary for Prior Art Search** This invention relates to a system for facilitating interactions between users, particularly in a networked environment. The system addresses the challenge of enabling seamless communication and data exchange between users, especially when one or more users are mobile. The system includes a computing device associated with a first user, where this device is a mobile device such as a smartphone or tablet. The mobile device is configured to transmit and receive data, process user inputs, and interact with other components of the system, such as a central server or other user devices. The system may also include additional computing devices for other users, which may be stationary or mobile, and may involve features like authentication, data synchronization, or real-time collaboration. The mobile device of the first user ensures that the system remains functional and accessible even when the user is not at a fixed location, enhancing flexibility and usability. The invention aims to improve connectivity and interaction efficiency in distributed or mobile computing environments.
15. The system of claim 13 , wherein the preference value is associated with each user's attributes.
A system for personalized content recommendation analyzes user attributes to generate preference values, which are then used to tailor content delivery. The system collects data on user behavior, demographics, and other relevant attributes to build a profile for each user. These attributes may include age, location, browsing history, interaction patterns, and explicit preferences. The system processes this data to assign a preference value to each user, reflecting their likelihood of engaging with specific content types. The preference value is dynamically updated based on ongoing user interactions, ensuring recommendations remain relevant over time. The system then uses these preference values to filter and prioritize content, presenting users with items most aligned with their interests. This approach improves user engagement by delivering personalized content, reducing the need for manual selection and enhancing the overall user experience. The system may also incorporate feedback mechanisms, allowing users to refine their preference values through direct input or implicit actions. By continuously adapting to user behavior, the system ensures recommendations remain accurate and up-to-date, addressing the challenge of maintaining relevance in dynamic user environments.
16. The system of claim 10 , wherein the server is further configured to: in an event of not receiving approval form the facility computing system: transmit a notification to the facility customer application executing on the computing device of the second user containing a message that the queue dataset modification has been denied.
This invention relates to a system for managing queue datasets in a facility, such as a restaurant or service center, where users interact with a facility computing system to modify queue datasets. The problem addressed is the need for efficient communication between a server, facility computing systems, and user applications when queue modifications are denied, ensuring users are promptly informed of approval or rejection. The system includes a server that processes requests to modify queue datasets, such as adding or removing entries. The server communicates with a facility computing system, which may approve or deny the modification based on predefined rules or availability. If the facility computing system denies the modification, the server transmits a notification to a facility customer application on a second user's computing device, informing them that the queue dataset modification has been denied. This ensures transparency and immediate feedback to users, improving the overall user experience. The system may also include additional features, such as generating and transmitting notifications to other users or systems when modifications are approved or denied, and tracking the status of queue modifications in real-time. The server may also log modification requests and responses for auditing or reporting purposes. The invention aims to streamline queue management by providing clear, timely communication to all involved parties.
17. The system of claim 10 , wherein the transmittal of the queue dataset to the plurality of users does not include any personal identifiable information associated with the plurality of users.
This invention relates to a system for managing and distributing queue datasets while ensuring privacy protection. The system addresses the challenge of securely sharing queue-related data among multiple users without exposing personally identifiable information (PII). The system includes a queue dataset generator that creates a dataset containing queue-related information, such as wait times, queue positions, or service statuses. This dataset is then transmitted to a plurality of users via a communication interface. The system ensures privacy by excluding any PII, such as names, contact details, or unique identifiers, from the transmitted dataset. The queue dataset may be dynamically updated in real-time to reflect changes in queue status, and the system may also include a user interface for displaying the queue information to users. The system is designed to operate in environments where queue management is critical, such as customer service centers, healthcare facilities, or event ticketing systems, ensuring that users receive relevant queue data without compromising their privacy. The invention emphasizes secure data handling and compliance with privacy regulations by strictly separating PII from shared queue information.
18. The system of claim 10 , wherein the channel within the communication platform is a chat session on a social media website.
This invention relates to communication systems within social media platforms, specifically addressing the challenge of managing and organizing conversations in digital chat sessions. The system enhances user interaction by providing structured channels within a communication platform, where each channel is dedicated to a specific topic or group discussion. The invention ensures that conversations remain organized and accessible, improving user engagement and collaboration. The system includes a communication platform that supports multiple channels, each representing a distinct chat session. These channels are hosted on a social media website, allowing users to join, participate, and leave discussions as needed. The platform may also include features such as message filtering, notification settings, and user permissions to control access and participation within each channel. Additionally, the system may integrate with external applications or services to expand functionality, such as sharing files, scheduling events, or integrating with productivity tools. The invention further enables users to create, modify, or delete channels dynamically, ensuring flexibility in managing discussions. The system may also track user activity within channels, providing insights into engagement levels and participation trends. By organizing conversations into dedicated channels, the system improves clarity and reduces clutter in social media interactions, making it easier for users to find and contribute to relevant discussions.
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September 18, 2017
January 21, 2020
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